Excel and Statistics, everybody should know. : Contents
Name a variable
If you use Excel’s own ‘Data Analysis’ function, it doesn’t matter what you do with the variable names. However, there are some important rules when using Excel as a data collection and organization tool, and when trying to enforce statistics in other programs.
The names of variables are better in English than in Korean (a local language). Some statistical programs recognize local language, but some do not. Most statistical results are presented in tables, and English is preferable because tables must be written in English so that foreigners can read them.
If you only want to do statistical processing in Excel, or if the statistical program you use supports local language very well, you can use local language.
It is recommended that the numbers not come in front of them.
Typing
variable names on two lines looks good in Excel and tables, and is commonly
used by many researchers and office workers. It is not a problem when
performing statistics in Excel itself, but it can be a problem when implemented
in other statistical programs, so you need to name the variables in one line. Also,
don’t let the numbers come forward, and use the under bar, as shown in the
example on the right.
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- R statisics portal https://tinyurl.com/stat-portal
- R data visualization book 1 https://tinyurl.com/R-plot-I (chart)
- R data visualization book 2
https://tinyurl.com/R-plot-II-3-4 many variables / map
https://tinyurl.com/R-plot-II-5-6 time related / statistics related
https://tinyurl.com/R-plot-II-7-8 others / reactive chart
- R data visualization book 3 https://tinyurl.com/R-data-Vis3
- R data visualization book 4 R 데이터 시각화 4권
- Meata Analysis book 1 https://tinyurl.com/MetaA-portal
- Meata Analysis book 2 https://tinyurl.com/MetaA-portal(2)
- Preciction Model and Machine Learning https://tinyurl.com/Machine-Learning-EZ
- Sample Size Calculations https://tinyurl.com/MY-sample-size
- Sample data https://tinyurl.com/data4edu
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